Early warning of COVID-19 hotspots using human mobility and web search query data

COVID-19 has disrupted the global economy and well-being of people at an unprecedented scale and magnitude. To contain the disease, an effective early warning system that predicts the locations of outbreaks is of crucial importance. Studies have shown the effectiveness of using large-scale mobility...

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Veröffentlicht in:	Computers, Environment and Urban Systems Jg. 92; S. 101747
Hauptverfasser:	Yabe, Takahiro, Tsubouchi, Kota, Sekimoto, Yoshihide, Ukkusuri, Satish V.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Ltd 01.03.2022 Elsevier BV Elsevier Science Ltd
Schlagworte:	Coronaviruses COVID-19 Data analysis Data search Early warning systems Epidemics Global economy Human mobility Mobility Outbreaks Population density Queries Risk Viral diseases Web search data COVID-19 Epidemics Human mobility Web search data
ISSN:	0198-9715, 1873-7587, 0198-9715
Online-Zugang:	Volltext
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